• DocumentCode
    1566473
  • Title

    A Fast Nondominated Sorting Algorithm

  • Author

    Shi, Chuan ; Chen, Ming ; Shi, Zhongzhi

  • Author_Institution
    Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing
  • Volume
    3
  • fYear
    2005
  • Firstpage
    1605
  • Lastpage
    1610
  • Abstract
    The process of nondominated sorting is one of main time-consuming parts of multiobjective evolutionary algorithm (MOEA). Designing a fast nondominated sorting algorithm is crucial to improve the performance of MOEA. The paper uses a Better function to compare solutions, and theoretical analysis shows that the Better function has the properties of general symmetry and transitivity. Based on these properties, the Better nondominated sorting algorithm (BNS) is designed to reduce the comparisons among solutions distinctly. Through the simulation experiments and comparing study, the new algorithm is found to speed up the process of nondominated sorting in deed
  • Keywords
    evolutionary computation; Better function; fast nondominated sorting algorithm; multiobjective evolutionary algorithm; multiobjective optimization problem; Algorithm design and analysis; Computers; Evolutionary computation; Laboratories; Pareto analysis; Pareto optimization; Sorting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9422-4
  • Type

    conf

  • DOI
    10.1109/ICNNB.2005.1614939
  • Filename
    1614939